Comments (1)
A week ago I tested all tutorials on both GPU and CPU with TensorFlow v. 0.12 and PrettyTensor 0.7.3 and it all worked. However, PrettyTensor did not have the correct version number so it still reports 0.7.1
If you update then hopefully it works again:
pip install --upgrade prettytensor
from tensorflow-tutorials.
Related Issues (20)
- when i was trying to run this code in pycharm it unables to download inception package and it results to an error ImportError: No module named 'inception' so please help me to overcome on this issue HOT 1
- Tutorial 23: Memory Error HOT 1
- ValueError: Unknown loss function:sparse_cross_entropy HOT 2
- Tutorial 21 Already Exists Error HOT 1
- 23_Time-Series-Prediction.ipynb - Predicting future values when have no test data? HOT 2
- Deprecated scipy libraries HOT 3
- acc = sess.run(accuracy, feed_dict={x: mnist.test.images, y: mnist.test.Lables}) AttributeError: 'DataSet' object has no attribute 'Lables' HOT 2
- using Elmo embedding layer in image captioning model ( Tutorial #22) HOT 1
- Image Caption works poorly HOT 6
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- TensorFlow 2.0 HOT 3
- Now how to forecast the future without knowing the known values? HOT 2
- AttributeError: module 'tensorflow' has no attribute 'gfile' in style transfer notebook HOT 3
- model.prediction does not match model.evaluation loss error HOT 3
- Tutorial 23 Error: Supplying multiple axes to axis is no longer supported. HOT 1
- ValueError: could not convert string to float: '28-12-2017'. I am training the time series prediction model on stock market data set and faced this error HOT 1
- issue when implementing image caption model HOT 4
- module 'tensorflow.python.ops.variable_scope' has no attribute '_VARSCOPE_KEY' HOT 2
- Korean translation HOT 2
- Tutorial 22_Image_Captioning.ipynb is not working in Colab because of disk space limit HOT 2
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